A sparse logistic regression framework by difference of convex functions programming

Sparse semi-supervised support vector machines by DC programming and DCA

(2015) Hoai Minh Le et al.   NEUROCOMPUTING

Sparse high-dimensional fractional-norm support vector machine via DC programming

(2013) Wei Guan et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Simultaneous feature selection and classification via Minimax Probability Machine

(2013) Liming Yang et al.   International Journal of Computational Intelligence Systems

New and efficient DCA based algorithms for minimum sum-of-squares clustering

(2013) Le Thi Hoai An et al.   PATTERN RECOGNITION

A Majorize-Minimize Subspace Approach for $\ell_2-\ell_0$ Image Regularization

(2013) Emilie Chouzenoux et al.   SIAM Journal on Imaging Sciences

A novel DPSO-SVM system for variable interval selection of endometrial tissue sections by near infrared spectroscopy

(2013) Guiyun Wang et al.   TALANTA

A comparison of ℓ1-regularizion, PCA, KPCA and ICA for dimensionality reduction in logistic regression

(2013) Abdallah Bashir Musa   International Journal of Machine Learning and Cybernetics

Mixed-norm linear support vector machine

(2012) Chunhua Zhang et al.   NEURAL COMPUTING & APPLICATIONS

Regularized logistic regression without a penalty term: An application to cancer classification with microarray data

(2010) Concha Bielza et al.   EXPERT SYSTEMS WITH APPLICATIONS

Sparse logistic regression for whole-brain classification of fMRI data

(2010) Srikanth Ryali et al.   NEUROIMAGE

A sparse version of the ridge logistic regression for large-scale text categorization

(2010) Sujeevan Aseervatham et al.   PATTERN RECOGNITION LETTERS

Adaptive Lasso in high-dimensional settings

(2009) Zhengyan Lin et al.   JOURNAL OF NONPARAMETRIC STATISTICS

Combining DCA (DC Algorithms) and interior point techniques for large-scale nonconvex quadratic programming

(2008) T. Pham Dinh et al.   OPTIMIZATION METHODS & SOFTWARE

A DC programming approach for feature selection in support vector machines learning

(2008) Hoai An Le Thi et al.   Advances in Data Analysis and Classification